Ekeany Boruta-Shap issues

Ekeany / Boruta-Shap

A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.

MIT License

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issues

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[ENH] Reference for isolation forest sampling

#33 lgmoneda closed 3 years ago
2
Fix typo in the fit function docstring and exclude empty spaces

#32 lgmoneda closed 3 years ago
0
Maybe not is correct drop nans in self.history_x

#31 Gilianp closed 3 years ago
4
How use Borutashap with imblearn Pipeline for correct CV eval?

#30 Gilianp closed 3 years ago
2
How can I export to pdf (high resolution) Feature_Selector.plot

#29 anne-leroy-T opened 3 years ago
6
Bump notebook from 6.0.3 to 6.1.5

#28 dependabot[bot] opened 3 years ago
0
append code(object->category) for lgb(categorical features)

#27 sungreong closed 3 years ago
9
Bump cryptography from 2.8 to 3.2

#26 dependabot[bot] opened 4 years ago
0
Can I use permutation importance, and another base as test base in ranking phase?

#25 Gilianp opened 4 years ago
2
What is Average Feature Importance in Feature_Selector.results_to_csv()?

#24 tmontana closed 4 years ago
4
[ENH] Add target permutation

#23 candalfigomoro closed 4 years ago
1
Update BorutaShap.py

#22 ag-tcm closed 4 years ago
0
[BUG] missing values check on training data shouldn't be done for Catboost and XGBoost

#21 jmilhomens closed 4 years ago
1
[BUG] shap version dependency

#20 nils-fl opened 4 years ago
0
[FEATURE]

#19 nils-fl closed 4 years ago
1
Enable temporal split

#18 jmrichardson opened 4 years ago
0
How to cite this library in an academic text

#17 Devilmoon closed 4 years ago
1
Noob issue: Having trouble loading up my own dataset

#16 apavlo89 closed 4 years ago
1
[BUG] TypeError: __init__() got an unexpected keyword argument 'feature_perturbation'

#15 mvpalheta closed 4 years ago
2
[BUG]TypeError: __init__() got an unexpected keyword argument 'approximate'

#14 jxlijunhao closed 4 years ago
11
[BUG] SHAP values using treeExplainer and lightgbm for classification are wrong because of the different output type

#13 ThomasBury closed 4 years ago
4
[INF] Merge to BorutaPy (sklearn-contrib)

#12 ThomasBury closed 4 years ago
3
[BUG]

#11 nils-fl closed 4 years ago
0
Triggers lint/test action on PRs

#10 rorybyrne opened 4 years ago
0
Refactor the project to be easier to test

#9 rorybyrne opened 4 years ago
0
Fixes syntax error in workflow yaml

#8 rorybyrne closed 4 years ago
0
Configure CI/CD, issues, and Dependabot

#7 rorybyrne closed 4 years ago
0
Adds infrastructure and testing configuration

#6 rorybyrne closed 4 years ago
0
Bump bleach from 3.1.0 to 3.1.4

#5 dependabot[bot] closed 4 years ago
0
Set up testing infrastructure

#4 rorybyrne closed 4 years ago
0
added catboost categorical support & subset with optional tentative=True argument

#3 jvanelteren closed 4 years ago
3
will it work for multidimensional matrix? like the type of tif?

#2 Yannikuni closed 4 years ago
1
will it work for any classifier ?

#1 Sandy4321 closed 4 years ago
3

Ekeany / Boruta-Shap

issues

[ENH] Reference for isolation forest sampling

Fix typo in the fit function docstring and exclude empty spaces

Maybe not is correct drop nans in self.history_x

How use Borutashap with imblearn Pipeline for correct CV eval?

How can I export to pdf (high resolution) Feature_Selector.plot

Bump notebook from 6.0.3 to 6.1.5

append code(object->category) for lgb(categorical features)

Bump cryptography from 2.8 to 3.2

Can I use permutation importance, and another base as test base in ranking phase?

What is Average Feature Importance in Feature_Selector.results_to_csv()?

[ENH] Add target permutation

Update BorutaShap.py

[BUG] missing values check on training data shouldn't be done for Catboost and XGBoost

[BUG] shap version dependency

[FEATURE]

Enable temporal split

How to cite this library in an academic text

Noob issue: Having trouble loading up my own dataset

[BUG] TypeError: init() got an unexpected keyword argument 'feature_perturbation'

[BUG]TypeError: init() got an unexpected keyword argument 'approximate'

[BUG] SHAP values using treeExplainer and lightgbm for classification are wrong because of the different output type

[INF] Merge to BorutaPy (sklearn-contrib)

[BUG]

Triggers lint/test action on PRs

Refactor the project to be easier to test

Fixes syntax error in workflow yaml

Configure CI/CD, issues, and Dependabot

Adds infrastructure and testing configuration

Bump bleach from 3.1.0 to 3.1.4

Set up testing infrastructure

added catboost categorical support & subset with optional tentative=True argument

will it work for multidimensional matrix? like the type of tif?

will it work for any classifier ?